roccurve

Given the predicted values <code>q</code> and its corresponding
observed classes <code>y</code>, it shows its separation performances
by showing the roc-curve.

Implements the SVM-Maj algorithm to train data with support vector machine
<doi:10.1007/s11634-008-0020-9>.
This algorithm uses two efficient updates, one for linear kernel and one
for the nonlinear kernel.

Hok San Yip

SVMMaj

Implementation of the SVM-Maj Algorithm

Hoksan Yip

Georgi Nalbantov

roccurve function

<dl><dt>q</dt>
<dd>the predicted values</dd>
<dt>y</dt>
<dd>a list of the actual classes of <code>q</code></dd>
<dt>class</dt>
<dd>the base class to show the roc-curve</dd>
<dt>...</dt>
<dd>additional parameters given as input to the <code>plot</code> function</dd></dl>

Arguments

Plot the ROC curve of the predicted values — roccurve

<dl>

<dt>q</dt>
<dd>the predicted values</dd>


<dt>y</dt>
<dd>a list of the actual classes of <code>q</code></dd>


<dt>class</dt>
<dd>the base class to show the roc-curve</dd>


<dt>...</dt>
<dd>additional parameters given as input to the <code>plot</code> function</dd>

</dl>

roccurve: Plot the ROC curve of the predicted values

Description

Usage

Arguments

Examples